H-1B Visa Business Intelligence Lead Jobs
Business Intelligence Lead roles qualify as H-1B visa specialty occupations under the data analytics and management information systems SOC classifications. Employers filing H-1B petitions for this title must certify a prevailing wage through a DOL Labor Condition Application, and most large tech, finance, and healthcare employers maintain active sponsorship pipelines for senior BI positions.
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As a Business Intelligence Engineer in Network Evolution Science & Tech (NEST), you will own the design, development, and delivery of reporting and measurement solutions that power the global expansion of our flagship planning platforms — UPX (Unified Planner Experience) and CPF/UPO (the coordination and optimization layer) — into emerging fulfillment networks worldwide.
You will work at the intersection of supply chain planning, operational intelligence, and optimization-model performance. Your reporting products will directly inform decisions that affect planner productivity, plan quality, and automation adoption as we scale from a single network in production to the full universe of non-core networks: Sub Same Day, Quick Commerce, Distribution Centres (SDC/1DC/rDC), AMXL, Rural and Super Rural+, AWD, and more, across all regions. You will design the measurement frameworks that show whether each new network launch is delivering accurate, trusted, adopted plans — before gaps reach decision-makers. And you will own the reporting suite that keeps the NEST function accountable to launch milestones, model performance, and benefits realization.
You will operate independently, managing ambiguity with rigor and judgment — much of what you measure does not exist yet and will be defined as networks onboard. You will partner closely with Science, Engineering, Product, S&OP planning teams, UPO/UPX platform partners, and Finance. You will present your analysis and recommendations independently to senior leadership, influence launch and prioritization decisions through data-backed arguments, and contribute to the team's AI-driven transformation agenda.
Key job responsibilities
- Own end-to-end design, development, and maintenance of automated BI reporting that measures UPX and CPF/UPO expansion across every network country — model accuracy, planner adoption, plan-vs-actuals, and benefits realization.
- Build the network launch and adoption measurement framework: dashboards and pipelines tracking optimization-model accuracy, planner cycle time, adoption rates, and manual-process retirement as networks onboard (Sub Same Day, Quick Commerce, SDC, 1DC, rDC, AMXL, Rural and Super Rural+, AWD).
- Design model-performance and plan-quality guardrail reporting with scalable alerting that flags when outputs or upstream signals breach thresholds, enabling proactive intervention.
- Own the BAU reporting suite: weekly flash reports, WBR/MBR/QBR packs, peak readiness dashboards, launch-milestone tracking, and forecast-accuracy reporting.
- Architect dimensional data models and ETL pipelines integrating upstream signals, UPO/CPF, UPX, and network planning tools into a single source of truth.
- Drive metric standardization across networks by partnering with Science, S&OP, and platform teams on definitions, methodologies, and data quality.
- Independently apply AI tools to automate reporting workflows and improve speed, quality, and self-service.
- Translate deep-dive analyses into narratives for Director- to VP-level audiences, and own data quality, pipeline reliability, SLAs, and on-call support.
About the team
Network Evolution Science & Tech (NEST) team owns planning optimization for networks outside the core FC network — 8 network types across 12 countries and 2,000+ non-core nodes (Sub Same Day, SDC, 1DC, rDC, Quick Commerce, Grocery, Rural and Super Rural+, AMXL, AWD). Our north star: every planner creates, analyses, and publishes plans through automated optimization on UPX — no spreadsheets, no tribal knowledge. Spanning operations research, optimization modelling, data science, and program management, we automate planning so S&OP capacity scales sub-linearly as the network grows. We're now building the reporting foundation that makes this expansion visible, measurable, and governable.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
DESCRIPTION
As a Business Intelligence Engineer in Network Evolution Science & Tech (NEST), you will own the design, development, and delivery of reporting and measurement solutions that power the global expansion of our flagship planning platforms — UPX (Unified Planner Experience) and CPF/UPO (the coordination and optimization layer) — into emerging fulfillment networks worldwide.
You will work at the intersection of supply chain planning, operational intelligence, and optimization-model performance. Your reporting products will directly inform decisions that affect planner productivity, plan quality, and automation adoption as we scale from a single network in production to the full universe of non-core networks: Sub Same Day, Quick Commerce, Distribution Centres (SDC/1DC/rDC), AMXL, Rural and Super Rural+, AWD, and more, across all regions. You will design the measurement frameworks that show whether each new network launch is delivering accurate, trusted, adopted plans — before gaps reach decision-makers. And you will own the reporting suite that keeps the NEST function accountable to launch milestones, model performance, and benefits realization.
You will operate independently, managing ambiguity with rigor and judgment — much of what you measure does not exist yet and will be defined as networks onboard. You will partner closely with Science, Engineering, Product, S&OP planning teams, UPO/UPX platform partners, and Finance. You will present your analysis and recommendations independently to senior leadership, influence launch and prioritization decisions through data-backed arguments, and contribute to the team's AI-driven transformation agenda.
Key job responsibilities
- Own end-to-end design, development, and maintenance of automated BI reporting that measures UPX and CPF/UPO expansion across every network country — model accuracy, planner adoption, plan-vs-actuals, and benefits realization.
- Build the network launch and adoption measurement framework: dashboards and pipelines tracking optimization-model accuracy, planner cycle time, adoption rates, and manual-process retirement as networks onboard (Sub Same Day, Quick Commerce, SDC, 1DC, rDC, AMXL, Rural and Super Rural+, AWD).
- Design model-performance and plan-quality guardrail reporting with scalable alerting that flags when outputs or upstream signals breach thresholds, enabling proactive intervention.
- Own the BAU reporting suite: weekly flash reports, WBR/MBR/QBR packs, peak readiness dashboards, launch-milestone tracking, and forecast-accuracy reporting.
- Architect dimensional data models and ETL pipelines integrating upstream signals, UPO/CPF, UPX, and network planning tools into a single source of truth.
- Drive metric standardization across networks by partnering with Science, S&OP, and platform teams on definitions, methodologies, and data quality.
- Independently apply AI tools to automate reporting workflows and improve speed, quality, and self-service.
- Translate deep-dive analyses into narratives for Director- to VP-level audiences, and own data quality, pipeline reliability, SLAs, and on-call support.
About the team
Network Evolution Science & Tech (NEST) team owns planning optimization for networks outside the core FC network — 8 network types across 12 countries and 2,000+ non-core nodes (Sub Same Day, SDC, 1DC, rDC, Quick Commerce, Grocery, Rural and Super Rural+, AMXL, AWD). Our north star: every planner creates, analyses, and publishes plans through automated optimization on UPX — no spreadsheets, no tribal knowledge. Spanning operations research, optimization modelling, data science, and program management, we automate planning so S&OP capacity scales sub-linearly as the network grows. We're now building the reporting foundation that makes this expansion visible, measurable, and governable.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 1+ years of SQL, ETL or Oracle experience
- 1+ years of processing large, multi-dimensional datasets from multiple sources experience
- 1+ years of performing statistical analysis experience
- 1+ years of developing automated reporting experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of using SQL, ETL (Extract, Transform, Load), or Oracle experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, NY, New York - 109,500.00 - 185,000.00 USD annually
USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually
See all 1,610+ H-1B Visa Business Intelligence Lead Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Business Intelligence Lead Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Business Intelligence Lead
Map your degree to the role
USCIS requires a direct nexus between your degree field and the BI Lead position. A degree in information systems, statistics, or computer science maps cleanly. If yours is adjacent, document how your coursework covered data modeling or analytics directly.
Search LCA filings before applying
Use Migrate Mate to filter employers by verified H-1B LCA filing history for BI and data analytics roles. Companies with consistent filing records have active sponsorship infrastructure, reducing the risk of an employer backing out mid-process.
Target employers with cap-exempt status
Universities, nonprofit research organizations, and government-affiliated entities are cap-exempt, meaning your petition bypasses the annual 85,000-slot lottery entirely. BI Lead roles exist across higher education systems and research institutions, not just the private sector.
Benchmark your prevailing wage before negotiating
Your employer must certify your offered wage meets the DOL prevailing wage for your specific SOC code and work location. Run the OFLC Wage Search before salary discussions so you know the Level III or IV floor for a BI Lead in your target metro.
Clarify the job duties scope early
H-1B petitions for BI Lead titles are scrutinized when the duties overlap with general management. Ensure your offer letter specifies technical responsibilities like data architecture, ETL pipeline oversight, or predictive modeling rather than broad team leadership language.
File premium processing if your start date is fixed
USCIS premium processing upgrades adjudication to a 15-business-day window. If you're transitioning from OPT or a prior visa with a defined end date, the standard processing timeline creates real authorization gaps that premium processing eliminates.
H-1B Visa Business Intelligence Lead: Frequently Asked Questions
Does a Business Intelligence Lead role qualify as an H-1B specialty occupation?
Yes. USCIS classifies BI Lead positions under SOC codes for computer and information systems managers and operations research analysts, both of which require at least a bachelor's degree in a directly related field. The key is ensuring your job description specifies technical duties, not just team management, so the specialty occupation standard is clearly met in the petition.
Which employers most consistently sponsor H-1B visas for BI Lead positions?
Large technology firms, financial services companies, healthcare systems, and management consulting firms file the highest volume of H-1B LCAs for business intelligence and data analytics roles. Use Migrate Mate to search employers by verified LCA filing history for BI and data leadership titles, which shows you which companies have active sponsorship programs rather than one-off filings.
Can I transfer my H-1B to a new employer for a BI Lead role without losing my place in the visa queue?
Yes, H-1B portability under AC21 lets you start working for a new employer as soon as the transfer petition is filed, provided your current H-1B has been approved for at least 180 days. Your priority date carries over if you've also initiated a green card process. The new employer files a fresh I-129 petition but you don't re-enter the lottery.
How does the DOL prevailing wage requirement affect BI Lead hiring?
Before filing your H-1B petition, your employer must submit a Labor Condition Application certifying your offered wage meets or exceeds the DOL prevailing wage for your job title and work location. For senior BI roles, this typically maps to a Level III or IV wage. You can verify the applicable threshold using the OFLC Wage Search before accepting an offer.
Does the BI Lead job title affect H-1B approval odds if the duties are partly managerial?
USCIS scrutinizes petitions where the listed duties blend technical and managerial responsibilities without a clearly dominant technical component. For BI Lead roles, the offer letter and support documentation should emphasize specific technical deliverables, such as data platform architecture, analytics tooling ownership, or cross-functional data modeling, to satisfy the specialty occupation definition beyond a general management interpretation.